R

R

Simulation of constrained stochastic time series satisfying arbitrary properties

Testing the movetrack package against GPS data from test flight. Pages: https://agmigecol.gitlab.io/motus_localisation

Estimate of personal CO2 footprint based on records of vehicle mileage, household energy consumption and air travel emissions

Helm chart for Shinyproxy

Ansible collection for Data Science related tools

https://galaxy.ansible.com/ui/repo/published/devxy/data_science_core/

Ansible collection for Posit applications

https://galaxy.ansible.com/ui/repo/published/devxy/posit/

Documents et site web à disposition des participants à la formation d'initiation à R.

Containerfiles for R

Birds of Havel shiny app. https://havel.fly.dev/

An R package to simplify the analysis and prediction of Antimicrobial Resistance (AMR) and to work with antibiotic data by using evidence-based methods.

Fit parametric models for time-to-event data that show an initial 'incubation period', i.e., a variable phase where the hazard is zero. The delayed Weibull distribution serves as the foundational data model. The specific method of MPSE (maximum product of spacings estimation) or different variants of MLE (maximum likelihood estimation) are implemented for parameter estimation. Bootstrap confidence intervals for parameters and significance tests in a two group setting are provided as well.

repo de publication sur le parc locatif social

DElite is a novel R package for DE analysis. With a single command line, DE returns the output of edgeR, limma, dearseq and DESeq2, both as individual results and as a combined output. DElite offers user-friendly functionality, accompanied by a detailed report, and allows advanced users to customize their analyses to a high degree.

Draft for a medium online course (moc) on using R for data analysis in the psychological sciences and related fields

Shiny Dashboard zur Visualisierung der Beringungs- und Beobachtungsdaten der Greifswalder Oie. https://vereinjordsand.shinyapps.io/goie/

Test handbook fork

R script providing an estimate of the probability of obtaining a bib as a function of the number of Running Stones and the number of years entered in the lottery for UTMB final.

According to the Financial Times, car loans defaults are at a 15-year high [1]. Therefore, the primary objective of this project is to assess the loan repayment abilities of clients and understand which factors contribute most significantly to default loan.

The main business question is: How can the NBFC predict car loan defaults more accurately to maximize their Expected Gross Profit?

Sub-questions include:

What borrower characteristics are most indicative of a high risk of default? How should we move ahead with the predictions of our model

calendR fork with additional features (backwards compatible).

Tools to bridge CRAN (https://cran.r-project.org) and OBS (https://build.opensuse.org/)